Mikiharu Doi

580 total citations
39 papers, 456 citations indexed

About

Mikiharu Doi is a scholar working on Molecular Biology, Biotechnology and Food Science. According to data from OpenAlex, Mikiharu Doi has authored 39 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Biotechnology and 7 papers in Food Science. Recurrent topics in Mikiharu Doi's work include Microbial Metabolic Engineering and Bioproduction (7 papers), Enzyme Catalysis and Immobilization (5 papers) and Biochemical and biochemical processes (4 papers). Mikiharu Doi is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (7 papers), Enzyme Catalysis and Immobilization (5 papers) and Biochemical and biochemical processes (4 papers). Mikiharu Doi collaborates with scholars based in Japan and South Korea. Mikiharu Doi's co-authors include Takuya Sugahara, Shinji Takenaka, Ryuta Yagi, Yukihiro Kimura, Kosuke Nishi, Sogo Nishimoto, Yoshihiro Shuto, Yökö Gotö, Koichi Akiyama and Satoshi Yamauchi and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, International Journal of Food Microbiology and Journal of Food Science.

In The Last Decade

Mikiharu Doi

35 papers receiving 432 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mikiharu Doi Japan 13 165 94 88 77 58 39 456
G. N. Likhatskaya Russia 17 328 2.0× 222 2.4× 53 0.6× 34 0.4× 36 0.6× 68 804
Qingxiong Meng China 16 150 0.9× 13 0.1× 52 0.6× 351 4.6× 57 1.0× 32 863
Yufeng Guo China 14 382 2.3× 34 0.4× 53 0.6× 46 0.6× 19 0.3× 28 500
Ayşe Nalbantsoy Türkiye 13 168 1.0× 16 0.2× 30 0.3× 35 0.5× 40 0.7× 27 381
Cheng‐Hong Hsieh Taiwan 14 419 2.5× 40 0.4× 7 0.1× 56 0.7× 27 0.5× 28 574
Sylvain Darnet Brazil 20 540 3.3× 49 0.5× 13 0.1× 241 3.1× 41 0.7× 34 1.0k
Kanami Mori‐Yasumoto Japan 13 175 1.1× 31 0.3× 7 0.1× 34 0.4× 50 0.9× 34 530
Leonardo Thiago Duarte Barreto Nobre Brazil 11 158 1.0× 82 0.9× 4 0.0× 70 0.9× 32 0.6× 15 870
Sandra Sperker Canada 11 211 1.3× 24 0.3× 4 0.0× 18 0.2× 20 0.3× 14 597

Countries citing papers authored by Mikiharu Doi

Since Specialization
Citations

This map shows the geographic impact of Mikiharu Doi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mikiharu Doi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikiharu Doi more than expected).

Fields of papers citing papers by Mikiharu Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikiharu Doi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mikiharu Doi. The network helps show where Mikiharu Doi may publish in the future.

Co-authorship network of co-authors of Mikiharu Doi

This figure shows the co-authorship network connecting the top 25 collaborators of Mikiharu Doi. A scholar is included among the top collaborators of Mikiharu Doi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mikiharu Doi. Mikiharu Doi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Takenaka, Shinji, et al.. (2025). Comparative analysis of lipolytic enzymes involved in the surface fermentation of dried katsuobushi by xerophilic molds. Journal of the Science of Food and Agriculture. 105(6). 3495–3503.
2.
Saito, Daisuke N., et al.. (2023). Heterologous expression and characterization of salt-tolerant β-glucosidase from xerophilic Aspergillus chevalieri for hydrolysis of marine biomass. Archives of Microbiology. 205(9). 310–310. 5 indexed citations
3.
Kimura, Yukihiro, et al.. (2023). Improvement in salt-tolerance of Aspergillus oryzae γ-glutamyl transpeptidase via protein chimerization with Aspergillus sydowii homolog. Enzyme and Microbial Technology. 167. 110240–110240. 6 indexed citations
4.
Kimura, Yukihiro, et al.. (2022). Isolation and characterization of a salt-tolerant γ-glutamyl transpeptidase from xerophilic Aspergillus sydowii. 3 Biotech. 12(10). 253–253. 4 indexed citations
6.
Takenaka, Shinji, et al.. (2021). Identification and characterization of extracellular enzymes secreted by Aspergillus spp. involved in lipolysis and lipid-antioxidation during katsuobushi fermentation and ripening. International Journal of Food Microbiology. 353. 109299–109299. 28 indexed citations
7.
Takenaka, Shinji, et al.. (2020). Characterization of surface Aspergillus community involved in traditional fermentation and ripening of katsuobushi. International Journal of Food Microbiology. 327. 108654–108654. 25 indexed citations
8.
Takenaka, Shinji, et al.. (2016). Heterologous expression and characterisation of the Aspergillus aspartic protease involved in the hydrolysis and decolorisation of red‐pigmented proteins. Journal of the Science of Food and Agriculture. 97(1). 95–101. 12 indexed citations
9.
10.
Aoki, Kenji, et al.. (2012). Aspartic protease from Aspergillus (Eurotium) repens strain MK82 is involved in the hydrolysis and decolourisation of dried bonito (Katsuobushi). Journal of the Science of Food and Agriculture. 93(6). 1349–1355. 18 indexed citations
11.
Doi, Mikiharu, et al.. (2011). Evaluation of Kokumi Taste of Japanese Soup Stock Materials Using Taste Sensor. Sensors and Materials. 493–493. 5 indexed citations
12.
MATSUMOTO, Junichi, et al.. (2011). . Journal of the Japanese Society of Revegetation Technology. 37(1). 151–154. 3 indexed citations
13.
Nishimoto, Sogo, Yökö Gotö, Mikiharu Doi, et al.. (2008). Mode of Action of the Immunostimulatory Effect of Collagen from Jellyfish. Bioscience Biotechnology and Biochemistry. 72(11). 2806–2814. 26 indexed citations
14.
Matsumoto, Junichi, et al.. (2007). Protease-Resistant Fraction of Smoked, Dried Bonito Alleviates Atopic Dermatitis-Like Skin Lesions in NC/Nga Mice. Journal of Nutritional Science and Vitaminology. 53(5). 451–456. 5 indexed citations
15.
Sugahara, Takuya, et al.. (2006). Immunostimulation Effect of Jellyfish Collagen. Bioscience Biotechnology and Biochemistry. 70(9). 2131–2137. 50 indexed citations
16.
Yagi, Ryuta & Mikiharu Doi. (1999). Isolation of an Antioxidative Substance Produced byAspergillus repens. Bioscience Biotechnology and Biochemistry. 63(5). 932–933. 37 indexed citations
17.
Doi, Mikiharu, et al.. (1996). Optical Analysis of Reduction Products of 2-Methylcyclohexanone byAspergillus repensMA0197. Bioscience Biotechnology and Biochemistry. 60(3). 486–487. 2 indexed citations
18.
Doi, Mikiharu & Yoshihiro Shuto. (1995). Oxidation of Acetophenone byAspergillusSpecies and Their Possible Contribution toKatsuobushiFlavor. Bioscience Biotechnology and Biochemistry. 59(12). 2324–2325. 7 indexed citations
19.
Doi, Mikiharu, et al.. (1992). Asymmetric Reduction of Acetophenone byAspergillusSpecies and Their Possible Contribution toKatsuobushiFlavor. Bioscience Biotechnology and Biochemistry. 56(6). 958–960. 8 indexed citations
20.
Doi, Mikiharu, et al.. (1989). Degradation and O-methylation of phenols among volatile flavor components of dried bonito (katsuobushi) by Aspergillus species.. Agricultural and Biological Chemistry. 53(4). 1051–1055. 16 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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